Data Modeling for the Sciences Applications, Basics, Computations

This accessible guide to data modeling introduces basic probabilistic concepts, gradually building toward state-of-the art data modeling and analysis techniques. Aimed at students and researchers in the sciences, the text is self-contained and pedagogical, including practical examples and end of chapter problems.

Info autore

Steve Pressé is Professor of Physics and Chemistry at Arizona State University, Tempe. His research lies at the interface of Biophysics and Chemical Physics with an emphasis on inverse methods. He is a recipient of a National Science Foundation CAREER award and a Research Corporation 'Molecules come to Life' Fellow. He has extensive experience in teaching data analysis and modeling at both undergraduate and graduate level with funding from the NIH and NSF in data modelling applied to the interpretation of single molecule dynamics and image analysis.Ioannis Sgouralis is Assistant Professor of Mathematics at the University of Tennessee, Knoxville. His research is focused on computational modeling and applied mathematics, particularly the integration of data acquisition with data analysis across biology, chemistry, and physics.

Riassunto

This accessible guide to data modeling introduces basic probabilistic concepts, gradually building toward state-of-the art data modeling and analysis techniques. Aimed at students and researchers in the sciences, the text is self-contained and pedagogical, including practical examples and end of chapter problems.

Dettagli sul prodotto

• Autori: Steve (Arizona State University) Presse, Ioannis (University of Tennessee Sgouralis, Steve (Arizona State University) Sgouralis Presse, Steve Pressé, Ioannis Sgouralis
• Editore: Cambridge University Press ELT
• Lingue: Inglese
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 01.08.2023
• Categoria: Scienze naturali, medicina, informatica, tecnica > Scienze naturali, tematiche generali; Scienze sociali, diritto, economia > Media, comunicazione > Scienze della comunicazione
• EAN: 9781009098502
• ISBN: 978-1-0-0909850-2
• Numero di pagine: 346
• Categorie: SCIENCE / Scientific Instruments, SCIENCE / Laboratory Techniques, Scientific equipment, experiments & techniques, Scientific equipment, experiments and techniques, Astronomical observation: observatories, equipment & methods, SCIENCE / Space Science / Astronomy, COMPUTERS / Data Science / Data Visualization, Data analysis: general, Data science and analysis: general, COMPUTERS / Database Administration & Management, For graduate / post-graduate and equivalents, Data capture and analysis, Data Capture & Analysis